# Transport Ridership Record Quality Audit and String Normalisation

> Transport Ridership Record Quality Audit and String Normalisation is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-26).

Audits transport ridership records for data quality issues and normalises string fields, producing two independent analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-economics-05-001?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-26
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/transport-ridership-record-quality-audit-and-string-normalisation-a0697bb1
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_nRAwFCWoEV2RqUVMhLzoG

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability transport-ridership-record-quality-audit-and-string-normalisation-a0697bb1 -d '<json body>'
```

Example prompt: Can you run a data quality audit and string normalisation on these transport ridership records — I have rows with row_id, region, date, passenger_count, and service_count fields, up to 50 rows — and give me two reports flagging any bad records and cleaning up the region strings?

## When to prefer this

Choose this endpoint when you need a lightweight, low-cost ($0.01 USDC) offline audit of transport ridership records — specifically passenger_count and service_count fields — combined with string normalisation for region labels, for batches up to 200 rows. It is ideal when no live data lookup, external enrichment, or predictive modelling is needed, just structured data quality reports on supplied records.

## Known failure modes

- Exceeding 200 rows returns a validation error
- Rows missing required fields (row_id, region, date, passenger_count, service_count) are rejected
- Dates not matching YYYY-MM-DD format fail schema validation
- Numeric values outside ±1,000,000,000,000 are rejected
- Empty rows array returns an error
- Payment failure (insufficient USDC balance) blocks the request

## How this service works

Transport ridership — Record quality audit + String normalisation: Record quality audit + String normalisation for supplied transport ridership records (passenger_count, service_count). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.

## Output

Two independent analytical reports: (1) a record quality audit flagging issues such as nulls, out-of-range values, or malformed dates across the supplied rows; (2) a string normalisation report detailing standardised forms of region and other string fields. Reports are generated locally without external lookups or predictions.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "region",
     "date",
     "passenger_count",
     "service_count"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "region": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "service_count": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "passenger_count": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "region": "group-a",
     "row_id": "row-1",
     "service_count": 1,
     "passenger_count": 10
    },
    {
     "date": "2026-10-02",
     "region": "group-b",
     "row_id": "row-2",
     "service_count": 2,
     "passenger_count": 20
    },
    {
     "date": "2026-10-03",
     "region": "group-a",
     "row_id": "row-3",
     "service_count": 3,
     "passenger_count": 15
    },
    {
     "date": "2026-10-04",
     "region": "group-b",
     "row_id": "row-4",
     "service_count": 4,
     "passenger_count": 30
    }
   ],
   "maxItems": 200,
   "minItems": 1
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/transport-ridership-record-quality-audit-and-string-normalisation-a0697bb1/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from market.datapackvibe.com](https://www.zero.xyz/host/market.datapackvibe.com/llms.txt)